chistopher / girgs
Linear-time sampling algorithm for geometric inhomogeneous random graphs with a special case implementation for hyperbolic random graphs.
☆15Updated last year
Alternatives and similar repositories for girgs:
Users that are interested in girgs are comparing it to the libraries listed below
- A Python tool to visualize geometric shapes in the native representation of hyperbolic space.☆11Updated 5 years ago
- gSparse: C++ Library for Graph Sparsification☆12Updated 4 years ago
- Draws a 2D simplicial complex from a list of simplices.☆15Updated 4 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆16Updated last year
- Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"☆11Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆14Updated 2 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆32Updated 3 years ago
- Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)☆17Updated last year
- Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.☆10Updated 3 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆16Updated 5 months ago
- Inference and sampling on the Hy-MMSBM probabilistic model for hypergraphs.☆16Updated last year
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆23Updated last year
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- Dynamic programming algorithms for exact linear clustering in networks.☆16Updated last year
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆17Updated last year
- Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…☆15Updated 2 years ago
- Library of python functions for the analysis of hypergraphs.☆12Updated 3 years ago
- The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.☆16Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated last year
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Updated 2 years ago
- Edge representation learning library☆25Updated 2 years ago
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆12Updated 11 months ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆11Updated 2 weeks ago
- Piece-wise Linear curves converted to point-clouds, analysed with Persistent Homology, represented as HyperGraphs.☆15Updated 2 weeks ago
- Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of a…☆24Updated last year
- Wasserstein Distance Graph Alignment☆22Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated 7 months ago